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Code Intelligence
AI-automated fuzz testing to find critical bugs and vulnerabilities

What is Code Intelligence?

Code Intelligence provides CI Fuzz, an AI-automated coverage-guided fuzz testing solution that helps developers and security teams find critical bugs and vulnerabilities with minimal effort. By automatically generating thousands of test cases and analyzing code paths, CI Fuzz uncovers issues such as buffer overflows, memory corruption, and injection flaws without false positives. The tool integrates seamlessly into development pipelines, enabling testing at unit, integration, and system levels, and provides root cause analysis to facilitate quick reproduction and fixing.

Designed for industries like automotive, medical devices, and telecom, CI Fuzz ensures compliance with standards such as ISO/SAE 21434, IEC 62443, and FDA cybersecurity guidance. It also supports AUTOSAR simulation for testing embedded software without hardware dependencies. Code Intelligence offers open-source fuzzing engines Jazzer (Java) and Jazzer.js (JavaScript) used by Google's OSS-Fuzz project.

Features

  • AI-Automated Fuzz Testing: Automatically generates thousands of test cases and analyzes code paths to find bugs without human interaction.
  • Root Cause Analysis: Provides full stack traces and exact location of issues for quick reproduction and fixing.
  • Coverage-Guided Testing: Maxmizes code coverage to discover deeply hidden vulnerabilities.
  • Integration with CI/CD: Easily integrates into development pipelines to test code at every change.
  • Compliance Support: Helps meet standards like ISO/SAE 21434, IEC 62443, and FDA cybersecurity guidance.
  • AUTOSAR Simulation: Enables testing of AUTOSAR applications without hardware dependencies.
  • Open-Source Fuzzers: Provides Jazzer for Java and Jazzer.js for JavaScript, used in Google's OSS-Fuzz.
  • No False Positives: Focuses on real, actionable bugs, eliminating theoretical issues.

Use Cases

  • Automatically detect memory corruption bugs in C/C++ code.
  • Find buffer overflows and use-after-free vulnerabilities in embedded systems.
  • Security testing of automotive control systems for ISO 21434 compliance.
  • Testing medical device software to meet FDA cybersecurity requirements.
  • Validate network device software in telecommunications.
  • Uncover injection and remote code execution vulnerabilities in web applications.
  • Fuzz testing of Java and JavaScript open-source projects with Jazzer and Jazzer.js.
  • Achieve code coverage goals autonomously for complex software projects.

FAQs

  • What types of bugs does CI Fuzz detect?
    CI Fuzz detects critical bugs such as buffer overflows, memory corruption, use-after-free, injection flaws, and remote code execution vulnerabilities. It focuses on real, actionable bugs with no false positives.
  • Can CI Fuzz be integrated into existing CI/CD pipelines?
    Yes, CI Fuzz integrates seamlessly into CI/CD pipelines to automatically test code at every change, ensuring that bugs are caught early in the development process.
  • Does Code Intelligence offer open-source tools?
    Yes, Code Intelligence provides Jazzer for Java and Jazzer.js for JavaScript, which are open-source fuzzing engines used by Google's OSS-Fuzz project.
  • What industries benefit most from fuzz testing?
    Industries such as automotive, medical devices, telecommunications, energy, aerospace, and industrial automation benefit significantly from fuzz testing to ensure software security and compliance with regulations.
  • How does CI Fuzz help with compliance?
    CI Fuzz helps achieve compliance with standards like ISO/SAE 21434, IEC 62443, FDA cybersecurity guidance, and Automotive SPICE by providing thorough fuzz testing and documentation of code coverage.

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